医学
前列腺
前列腺近距离放射治疗
近距离放射治疗
工作流程
磁共振成像
核医学
放射治疗计划
放射科
放射治疗
计算机科学
数据库
内科学
癌症
作者
Alexander R. Podgorsak,Bhanu Prasad Venkatesulu,Mohammad Abuhamad,Matthew M. Harkenrider,Abhishek A. Solanki,John C. Roeske,Hyejoo Kang
出处
期刊:Brachytherapy
[Elsevier]
日期:2023-06-12
卷期号:22 (5): 686-696
被引量:3
标识
DOI:10.1016/j.brachy.2023.05.005
摘要
PURPOSE Target and organ delineation during prostate high-dose-rate (HDR) brachytherapy treatment planning can be improved by acquiring both a postimplant CT and MRI. However, this leads to a longer treatment delivery workflow and may introduce uncertainties due to anatomical motion between scans. We investigated the dosimetric and workflow impact of MRI synthesized from CT for prostate HDR brachytherapy. METHODS AND MATERIALS Seventy-eight CT and T2-weighted MRI datasets from patients treated with prostate HDR brachytherapy at our institution were retrospectively collected to train and validate our deep-learning-based image-synthesis method. Synthetic MRI was assessed against real MRI using the dice similarity coefficient (DSC) between prostate contours drawn using both image sets. The DSC between the same observer's synthetic and real MRI prostate contours was compared with the DSC between two different observers' real MRI prostate contours. New treatment plans were generated targeting the synthetic MRI-defined prostate and compared with the clinically delivered plans using target coverage and dose to critical organs. RESULTS Variability between the same observer's prostate contours from synthetic and real MRI was not significantly different from the variability between different observer's prostate contours on real MRI. Synthetic MRI-planned target coverage was not significantly different from that of the clinically delivered plans. There were no increases above organ institutional dose constraints in the synthetic MRI plans. CONCLUSIONS We developed and validated a method for synthesizing MRI from CT for prostate HDR brachytherapy treatment planning. Synthetic MRI use may lead to a workflow advantage and removal of CT-to-MRI registration uncertainty without loss of information needed for target delineation and treatment planning.
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